Raw LLM Responses
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G
Lol there's all these high-minded arguments about morality and greed and society…
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@snaphaan5049 If developers created an AI that could create impressive images WI…
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With AI "creature" art, we have a big problem ahead, and that is the death of ar…
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There are basically no actual AI job losses. It is just about entirely nonsense …
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"Abundant fuel sources" is code for fossil fuels. Great that we don't pay attent…
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I just watched the whole video, and honestly, it bothers me deeply.
Because if …
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You know what is more terrifying? Warmongers that call themselves to be a govern…
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@mikeyman1974 Speaking of optics. Did you know that all you really need is a 5 …
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Comment
The irony is that the AI providers use a system of "Tokens" as they call them which are the prompt you've given it broken up into little subsegments of language that it processes as individual data packets and the words like "Please" and "Thank you" are entirely discarded by the processing stage of the inferencing algorithm. This is why companies like Open AI for instance have publicly asked people to stop using "Please" and "Thank You" because it costs them millions of dollars a month when it's just useless information that is discarded for the inferencing phase, but they still have to pay the cost of the API calls and the data centers and energy costs required to process those useless bits of information that just get overlooked and discarded by the algorithm anyways. So your advice is actually incorrect, you are correct to say that AI models have gotten better at mimicking different personalities or expertise through agentic AI modelling, but even when using an agentic AI model it's still much more efficient to not use manners or interjections and be as concise with your prompts as possible to net the best results as a response.
youtube
AI Moral Status
2025-05-18T07:3…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | company |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | mixed |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[{"id":"ytc_UgzieYAVd79dfS1T3oN4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgygjXpgj9eeRpzF9k54AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytc_UgybG9byOUCN0Kq0nY54AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgxbsJJTeG4u9LPYb4Z4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgybO7KTwWbaTe-uJvt4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"fear"},
{"id":"ytc_UgzR38lXgQTe5bGv99d4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyMvVO4dgzzWAo2T2B4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgzwtPdbB2JDj9Bee2t4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgyaLfn7CwrW2Ccn34B4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytc_Ugxts3C5FwXiLSrgiId4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"resignation"}]